Denoising apparatus, system and method
    1.
    发明授权
    Denoising apparatus, system and method 有权
    去噪装置,系统和方法

    公开(公告)号:US09002136B2

    公开(公告)日:2015-04-07

    申请号:US13889881

    申请日:2013-05-08

    CPC classification number: G06T5/002 G06T2207/20012 G06T2207/20021

    Abstract: A denoising apparatus comprising an image input unit which receives pixel data including color information of pixels included in a correction target image, a denoising unit which denoises the pixel data by a weight based averaging method, wherein the weight is set to a maximum value when a difference value between a correction target block and a comparison target block in the correction target image is zero, decreases linearly to zero as the difference value increases until it reaches a threshold value, and is set to zero when the difference value is greater than or equal to the threshold value, and an image output unit which outputs the pixel data processed by the denoising unit. The denoising unit assigns a corrected weight value to at least a guaranteed number of comparison target blocks for an impulse block, where an impulse block is a correction target block for which the number of non-zero weight valued comparison target blocks is less than a predetermined guaranteed number.

    Abstract translation: 一种去噪装置,包括图像输入单元,其接收包括校正目标图像中包括的像素的颜色信息的像素数据,通过基于权重的平均方法去除像素数据的去噪单元,其中当a 修正对象图像之间的校正对象块与比较对象块之间的差分值为零,随着差值增加直至达到阈值,线性减小为零,当差值大于等于0时,将其设定为零 以及输出由去噪单元处理的像素数据的图像输出单元。 去噪单元将校正的权重值分配给用于脉冲块的至少保证数量的比较目标块,其中脉冲块是非零重量值比较目标块的数量小于预定值的校正目标块 保证号码。

    DENOISING APPARATUS, SYSTEM AND METHOD
    3.
    发明申请
    DENOISING APPARATUS, SYSTEM AND METHOD 有权
    脱模装置,系统和方法

    公开(公告)号:US20140003735A1

    公开(公告)日:2014-01-02

    申请号:US13889881

    申请日:2013-05-08

    CPC classification number: G06T5/002 G06T2207/20012 G06T2207/20021

    Abstract: A denoising apparatus comprising an image input unit which receives pixel data including color information of pixels included in a correction target image, a denoising unit which denoises the pixel data by a weight based averaging method, wherein the weight is set to a maximum value when a difference value between a correction target block and a comparison target block in the correction target image is zero, decreases linearly to zero as the difference value increases until it reaches a threshold value, and is set to zero when the difference value is greater than or equal to the threshold value, and an image output unit which outputs the pixel data processed by the denoising unit. The denoising unit assigns a corrected weight value to at least a guaranteed number of comparison target blocks for an impulse block, where an impulse block is a correction target block for which the number of non-zero weight valued comparison target blocks is less than a predetermined guaranteed number.

    Abstract translation: 一种去噪装置,包括图像输入单元,其接收包括校正目标图像中包括的像素的颜色信息的像素数据,通过基于权重的平均方法去除像素数据的去噪单元,其中当a 修正对象图像之间的校正对象块与比较对象块之间的差分值为零,随着差值增加直至达到阈值,线性减小为零,当差值大于等于0时,将其设定为零 以及输出由去噪单元处理的像素数据的图像输出单元。 去噪单元将校正的权重值分配给用于脉冲块的至少保证数量的比较目标块,其中脉冲块是非零重量值比较目标块的数量小于预定值的校正目标块 保证号码。

    Depth information based optical distortion correction circuit and method
    4.
    发明授权
    Depth information based optical distortion correction circuit and method 有权
    基于深度信息的光学失真校正电路及方法

    公开(公告)号:US09412154B2

    公开(公告)日:2016-08-09

    申请号:US14470358

    申请日:2014-08-27

    Abstract: Provided are a depth information based optical distortion correction (ODC) circuit and method. The ODC circuit includes a depth acquisition unit acquiring a depth of an image, a grid generation unit dynamically generating a correction grid corresponding to the depth of the image using depth information of the image and a projection matrix, and a distortion correction unit correcting optical distortion in the image using the correction grid. The corrected image can then be stored, transmitted, or otherwise output. The image can be a single static image or photograph or a frame in a video recording.

    Abstract translation: 提供了基于深度信息的光学失真校正(ODC)电路和方法。 ODC电路包括获取图像的深度的深度获取单元,网格生成单元使用图像的深度信息和投影矩阵来动态地生成与图像的深度相对应的校正网格,以及校正光学失真的失真校正单元 在使用校正网格的图像中。 然后可以存储,发送或以其他方式输出校正后的图像。 图像可以是视频录制中的单个静态图像或照片或帧。

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